1583 Pandas Jobs - Page 20

We are looking for a highly skilled and motivated SQL Developer with expertise in PostgreSQL or Oracle databases, along with proficiency in Java and/or Python. Your responsibilities will include designing, developing, and maintaining robust and scalable database solutions. You will also be integrating these solutions with Java and/or Python applications, optimizing database performance, ensuring data integrity, and collaborating with cross-functional teams to deliver high-quality software. Your main responsibilities will involve designing, developing, and implementing complex SQL queries, stored procedures, functions, and triggers for PostgreSQL or Oracle databases. Additionally, you will optimize database performance through indexing, query tuning, and schema improvements. You will work closely with application developers to integrate database solutions with Java and/or Python applications and develop and maintain ETL processes for data migration and integration. Collaboration with business analysts to understand data requirements, ensuring data integrity, security, and availability, and performing database performance monitoring, troubleshooting, and tuning will also be part of your role. You will participate in database design reviews, provide recommendations for best practices, and develop documentation for database designs, processes, and procedures. Supporting existing database systems and applications, including on-call rotation as needed, and staying up-to-date with the latest database technologies and best practices in PostgreSQL, Oracle, Java, and Python are also essential parts of your responsibilities. Required Skills and Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). - 3+ years of experience as an SQL Developer. - Strong proficiency in PostgreSQL or Oracle databases, including expertise in writing complex SQL queries, stored procedures, functions, and triggers. - Experience with database design, normalization, and optimization techniques. - Proficiency in Java or Python programming languages. - Experience with version control systems such as Git. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team in a fast-paced environment. Preferred Skills (Bonus Points): - Experience with both PostgreSQL and Oracle databases. - Familiarity with cloud platforms (AWS, Azure, GCP) and their database services. - Experience with CI/CD pipelines and DevOps practices. - Knowledge of data warehousing concepts and tools. - Experience with data visualization tools such as Tableau or Power BI. - Familiarity with NoSQL databases like MongoDB or Cassandra.,

As an Advisor, Statistical Analysis at Fiserv, you will be part of a dynamic team that values innovation and future-focused solutions. In this role, you will leverage your expertise in Computer Science, Data Science, Statistics, Mathematics, or related fields to drive statistical analysis initiatives. To excel in this position, you should hold a Bachelors or Masters degree in a relevant field and demonstrate proficiency in Python, SQL, and various data science libraries such as pandas, scikit-learn, TensorFlow, and PyTorch. Experience with big data technologies like Spark, Hadoop, as well as cloud platforms including AWS, GCP, and Azure, will be essential for success in this role. Your problem-solving skills will be put to the test as you navigate through complex challenges within a fast-paced, collaborative environment. Your ability to think critically and work efficiently will play a crucial role in shaping data-driven strategies and solutions. If you are interested in joining our diverse and inclusive team at Fiserv, we invite you to apply using your legal name. Please complete the step-by-step profile and attach your resume to be considered for this exciting opportunity. While submitting your application, kindly ensure to follow the correct procedures to facilitate a smooth recruitment process. At Fiserv, we take pride in our commitment to diversity and inclusion. We believe in creating a workplace where individuals from all backgrounds can thrive and contribute to our collective success. By fostering an environment of respect and collaboration, we aim to build a strong and unified team that is capable of achieving great things together. As a reminder to recruitment agencies, please note that Fiserv does not accept resume submissions from agencies without prior agreements. We kindly request that unsolicited resumes not be forwarded to Fiserv associates, as we are not liable for any fees associated with such submissions. We also caution all applicants to be vigilant of fraudulent job postings that are not endorsed by Fiserv. Cyber criminals may use fake job opportunities to exploit personal information or financial resources. Any official communication from a Fiserv representative will originate from a legitimate Fiserv email address to ensure transparency and authenticity. Thank you for considering employment with Fiserv. We look forward to welcoming dedicated and passionate professionals to our team who are ready to make a meaningful impact through their work.,

As an AI/ML Manager at our Pune location, you will be responsible for leading the development of machine learning proof of concepts (PoCs) and demos using structured/tabular data for various use cases like forecasting, risk scoring, churn prediction, and optimization. Your role will involve collaborating with sales engineering teams to understand client requirements and presenting ML solutions during pre-sales calls and technical workshops. You will be expected to build ML workflows using tools such as SageMaker, Azure ML, or Databricks ML, managing training, tuning, evaluation, and model packaging. Applying supervised, unsupervised, and semi-supervised techniques like XGBoost, CatBoost, k-Means, PCA, and time-series models will be a key part of your responsibilities. Working closely with data engineering teams, you will define data ingestion, preprocessing, and feature engineering pipelines using Python, Spark, and cloud-native tools. Packaging and documenting ML assets for scalability and transition into delivery teams post-demo will be essential. Staying updated with the latest best practices in ML explainability, model performance monitoring, and MLOps practices is also expected. Participation in internal knowledge sharing, tooling evaluation, and continuous improvement of lab processes are additional aspects of this role. To qualify for this position, you should have at least 8+ years of experience in developing and deploying classical machine learning models in production or PoC environments. Strong hands-on experience with Python, pandas, scikit-learn, and ML libraries like XGBoost, CatBoost, LightGBM is required. Familiarity with cloud-based ML environments such as AWS SageMaker, Azure ML, or Databricks is preferred. A solid understanding of feature engineering, model tuning, cross-validation, and error analysis is necessary. Experience with unsupervised learning, clustering, anomaly detection, and dimensionality reduction techniques will be beneficial. You should be comfortable presenting models and insights to both technical and non-technical stakeholders during pre-sales engagements. Working knowledge of MLOps concepts, including model versioning, deployment automation, and drift detection, will be an advantage. If you are interested in this opportunity, please apply or share your resume at kanika.garg@austere.co.in.,

The role of Junior Full Stack Developer with a focus on Artificial Intelligence and Data Analytics in Banglore offers a great opportunity for a recent graduate or early-career professional to contribute to web application development and data-driven insights. Working closely with senior developers and data scientists, you will help enhance products with intelligent capabilities. Your responsibilities will include developing and maintaining front-end and back-end components of web applications, building user interfaces using modern web technologies like HTML, CSS, and JavaScript (including React basics), writing efficient server-side code primarily in Python, integrating AI/Machine Learning models, performing data cleaning, analysis, and visualization, collaborating on database interactions and API development, participating in code reviews and documentation, and troubleshooting issues under guidance. To succeed in this role, you should have a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, along with a basic understanding of web development concepts, familiarity with front-end and back-end technologies, solid Python programming skills, knowledge of AI/Machine Learning concepts, experience with data analysis and visualization tools, basic SQL knowledge, Git proficiency, cloud services familiarity, strong analytical and problem-solving skills, excellent communication and teamwork abilities, and a willingness to learn and adapt in a fast-paced environment. This is a full-time position requiring your presence in the office from Monday to Friday. If you are an immediate joiner with relevant experience and expectations aligned with the offered package of 12LPA, we encourage you to apply for this exciting opportunity to grow your skills in web development, AI, and data analytics.,

The ideal candidate for this position in Ahmedabad should be a graduate with at least 3 years of experience. At Bytes Technolab, we strive to create a cutting-edge workplace infrastructure that empowers our employees and clients. Our focus on utilizing the latest technologies enables our development team to deliver high-quality software solutions for a variety of businesses. You will be responsible for leveraging your 3+ years of experience in Machine Learning and Artificial Intelligence to contribute to our projects. Proficiency in Python programming and relevant libraries such as NumPy, Pandas, and scikit-learn is essential. Hands-on experience with frameworks like PyTorch, TensorFlow, Keras, Facenet, and OpenCV will be key in your role. Your role will involve working with GPU acceleration for deep learning model development using CUDA, cuDNN. A strong understanding of neural networks, computer vision, and other AI technologies will be crucial. Experience with Large Language Models (LLMs) like GPT, BERT, LLaMA, and familiarity with frameworks such as LangChain, AutoGPT, and BabyAGI are preferred. You should be able to translate business requirements into ML/AI solutions and deploy models on cloud platforms like AWS SageMaker, Azure ML, and Google AI Platform. Proficiency in ETL pipelines, data preprocessing, and feature engineering is required, along with experience in MLOps tools like MLflow, Kubeflow, or TensorFlow Extended (TFX). Expertise in optimizing ML/AI models for performance and scalability across different hardware architectures is necessary. Knowledge of Natural Language Processing (NLP), Reinforcement Learning, and data versioning tools like DVC or Delta Lake is a plus. Skills in containerization tools like Docker and orchestration tools like Kubernetes will be beneficial for scalable deployments. You should have experience in model evaluation, A/B testing, and establishing continuous training pipelines. Working in Agile/Scrum environments with cross-functional teams, understanding ethical AI principles, model fairness, and bias mitigation techniques are important. Familiarity with CI/CD pipelines for machine learning workflows and the ability to communicate complex concepts to technical and non-technical stakeholders will be valuable.,

As a skilled Web Scraping Data Analyst, you will be responsible for collecting, cleaning, and analyzing data from various online sources. Your expertise in Python-based scraping frameworks, data transformation, and experience with proxy/VPN rotation and IP management will be crucial in building data pipelines that support our analytics and business intelligence initiatives. Your key responsibilities will include designing, developing, and maintaining robust web scraping scripts using tools like Python, BeautifulSoup, Scrapy, Selenium, etc. You will also implement IP rotation, proxy management, and anti-bot evasion techniques, deploy scraping tools on cloud-based or edge servers, and monitor scraping jobs for uptime and efficiency. Additionally, you will parse and structure unstructured or semi-structured web data into clean, usable datasets, collaborate with data analysts and data engineers to integrate web-sourced data into internal databases and reporting systems, conduct exploratory data analysis (EDA), and ensure compliance with website scraping policies, robots.txt, and relevant data privacy regulations. To excel in this role, you should have proficiency in Python and experience with libraries like Requests, BeautifulSoup, Scrapy, Pandas. Knowledge of proxy/VPN usage, IP rotation, and web traffic routing tools (e.g., Smartproxy, BrightData, Tor, etc.), familiarity with cloud platforms (AWS, Azure, or GCP) and Linux-based environments, experience deploying scraping scripts on edge servers or containerized environments (e.g., Docker), solid understanding of HTML, CSS, JSON, and browser dev tools for DOM inspection, strong analytical mindset with experience in data cleansing, transformation, and visualization, good knowledge of SQL and basic data querying, and ability to handle large volumes of data and build efficient data pipelines. Preferred qualifications for this role include experience with headless browsers like Puppeteer or Playwright, familiarity with scheduling tools like Airflow or Cron, background in data analytics or reporting using tools like Tableau, Power BI, or Jupyter Notebooks, and knowledge of anti-captcha solutions and browser automation challenges. This is a full-time position with the work location being in person.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. Your unique voice and perspective are valued to help EY become even better. Join us and contribute to building an exceptional experience for yourself and creating a better working world for all. As a part of our EY - Technology Risk team, you will contribute technically to IT Risk and Assurance client engagements as well as internal projects. Your role will involve actively establishing, maintaining, and strengthening internal and external relationships. You will also be responsible for identifying potential business opportunities for Ernst & Young within existing engagements and escalating them as appropriate. Anticipating and identifying risks within engagements and sharing any issues with senior team members will also be part of your responsibilities. The opportunity entails helping clients navigate the complex world of modern data science and analytics. You will provide advice to clients on designing, implementing, stabilizing, and optimizing internal controls using cutting-edge and scalable AI & Big Data technologies. Your key responsibilities include: - Building and leveraging cutting-edge Gen AI & Big Data platforms to deliver insights for comprehensive Risk & Controls monitoring mechanisms. - Creating executive reporting, proposals, and marketing material with the highest quality deliverables. - Collaborating within the team to solve technical challenges in the design and development of the next-generation AI & Data-led Risk technology platform. To qualify for this role, you must have: - 4+ years of working experience in Large Scale AI/ML models and data science. - Deep understanding of statistics, AI/ML algorithms, and predictive modeling. - Proficiency in AI/ML programming languages like Python, R, and SQL. - Expertise in machine learning algorithms and data mining techniques including deep learning algorithms. - Strong programming skills in Python with machine learning libraries such as Scikit-learn, Pandas, NumPy, etc. - Knowledge of tools such as Docker, Kubernetes, Git, and deep learning frameworks like TensorFlow, PyTorch, or Keras. Ideally, you'll also have a Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus. Being self-driven, a creative problem solver, and enjoying the fast-paced environment of software development are qualities that are valued. At EY, you will have opportunities to work with leading businesses globally and develop your skills and career. You will work on inspiring and meaningful projects, receive support, coaching, and feedback from engaging colleagues, and have the freedom and flexibility to handle your role in a way that suits you. EY is committed to building a better working world by creating long-term value for clients, people, and society through trust, data, and technology.,

You will be working at ClearTrail, where the focus is on developing solutions to empower organizations dedicated to ensuring the safety of their people, places, and communities. With over 23 years of experience, ClearTrail has been a trusted partner for law enforcement and federal agencies worldwide in safeguarding nations and enriching lives. As part of the team, you will contribute to the future of intelligence gathering by creating artificial intelligence and machine learning-based lawful interception and communication analytics solutions to address some of the world's most challenging problems. Your role will involve developing and training machine learning models that leverage drone, satellite, and real-time video data for complex visual understanding tasks. You should have a minimum of 10-12 years of relevant experience for this position. Key responsibilities of the role include: - Building machine learning and deep learning models for image and video classification, segmentation, and spatiotemporal analysis. - Developing fusion methods to align and combine data from satellite, drone, and ground footage. - Applying advanced techniques such as multi-scale learning, temporal modeling (e.g., 3D CNNs, transformers), and sensor fusion. - Conducting model evaluation and optimization across various data sources. Essential skills for this role include: - Strong proficiency in Python coding and data manipulation using libraries such as NumPy, Pandas, and SciPy. - Expertise in vision/model libraries like MMDetection, Detectron2, and OpenCV. - Deep learning experience with PyTorch, TensorFlow, and video models such as TimeSformer, SlowFast, I3D, and Yolo. - Knowledge of satellite/drone geospatial fusion, GPS/IMU metadata, and scene alignment. - Familiarity with time series analysis, motion tracking, and optical flow using tools like RAFT and FlowNet. - Understanding of remote sensing libraries such as Rasterio, GDAL, GeoPandas, and xarray. If you are passionate about leveraging machine learning and artificial intelligence to address complex challenges in intelligence gathering, this role at ClearTrail offers an exciting opportunity to make a meaningful impact.,

As a Credit Risk Model Developer at Tiger Analytics, you will be a key player in the end-to-end development, implementation, and monitoring of application and behavioral scorecards within the dynamic retail banking division, focusing primarily on the unsecured lending portfolio in the Indian banking context. Your expertise and contributions will be instrumental in enhancing credit risk management capabilities, optimizing lending decisions, and driving profitable growth through advanced analytical techniques and robust statistical models. Your responsibilities will include leading the design, development, and validation of new application and behavioral scorecards tailored for the Indian retail banking landscape, with a specific focus on personal loans, credit cards, and other unsecured portfolios. You will utilize advanced statistical methodologies and machine learning techniques, leveraging Python for data manipulation, model building, and validation. Additionally, you will ensure robust model validation, back-testing, stress testing, and scenario analysis to ensure model robustness and stability while adhering to regulatory guidelines and internal governance. Furthermore, you will drive the deployment of developed scorecards into production environments on AWS, collaborating with engineering teams to integrate models into credit origination and decisioning systems. You will also implement and manage MLOps practices for continuous model monitoring, re-training, and version control within the AWS ecosystem. In terms of data strategy and feature engineering, you will proactively identify, source, and analyze diverse datasets to derive highly predictive features for scorecard development. Addressing data quality challenges and ensuring data integrity and suitability for model inputs will also be a key part of your role. Your role will also involve establishing and maintaining comprehensive model performance monitoring frameworks, tracking key performance indicators like Gini coefficient, KS statistic, and portfolio vintage analysis. Based on performance degradation, regulatory changes, or evolving market dynamics, you will identify triggers for model recalibration or redevelopment. The ideal candidate for this role will have 3-10 years of hands-on experience in credit risk model development, with a strong focus on application scorecard development and exposure to behavioral scorecards within the Indian banking sector. A Bachelor's or Master's degree in a quantitative discipline and exceptional hands-on expertise in Python, proficiency in SQL, and familiarity with AWS services relevant to data science and machine learning are essential requirements. Strong analytical, problem-solving, and communication skills are also crucial for effectively communicating complex technical concepts to both technical and non-technical stakeholders.,

You are an AI/ML Engineer with 1 to 3 years of experience looking to join a team in Coimbatore, India. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world problems across various industries. Your key responsibilities will include: - Designing, developing, and deploying machine learning models and algorithms for real-world applications - Preprocessing and analyzing structured and unstructured data - Building scalable data pipelines and automating workflows - Collaborating with data scientists, software engineers, and product teams to integrate ML solutions - Monitoring and optimizing model performance and accuracy over time - Staying current with the latest research and advancements in AI/ML To excel in this role, you should have: - A solid understanding of machine learning algorithms such as regression, classification, clustering, and deep learning - Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, Keras, or PyTorch - Experience with data manipulation tools like Pandas and NumPy - Familiarity with cloud platforms such as AWS, Azure, and GCP (a plus) - Experience with version control (Git) and agile development practices - Strong analytical and problem-solving skills If you are passionate about AI/ML and eager to work on cutting-edge projects, this opportunity is perfect for you. Join us and make a meaningful impact with your expertise in machine learning.,

You will be joining our innovative EdTech team as an experienced AI/ML Content Developer. Your primary responsibility will be to create cutting-edge educational content in the field of artificial intelligence and machine learning. You will play a key role in developing comprehensive courses that cover a wide range of AI/ML domains, starting from foundational machine learning concepts to advanced generative AI and agentic AI systems. This position presents an exciting opportunity for you to influence how the next generation of AI practitioners learn and apply these transformative technologies. In this role, your tasks will include designing and developing comprehensive courses across AI/ML domains such as machine learning, natural language processing, computer vision, generative AI, and agentic AI systems. You will create diverse content formats, including hands-on labs, interactive exercises, assessments, and project-based learning modules. Additionally, you will structure learning paths that logically progress from foundational concepts to advanced AI applications. You will also develop practical coding exercises and real-world implementation scenarios using industry-standard tools and frameworks. Ensuring the quality and industry relevance of the content will be a crucial aspect of your role. You will need to ensure that all content reflects current AI/ML best practices and stays aligned with rapidly evolving industry trends. Creating practical, real-world scenarios that simulate actual AI development workflows and challenges will be part of your responsibilities. You will also collaborate with our instructional design team to optimize learning outcomes for complex technical concepts. Furthermore, you will work closely with our platform team to ensure the seamless delivery of AI/ML content and interactive experiences. Continuous iteration and improvement of existing content based on learner feedback and performance metrics will be essential. Staying updated with the latest AI research, tools, and educational methodologies, as well as integrating emerging AI technologies and frameworks into the curriculum as they become industry-relevant, will also be part of your role. For this position, we are looking for candidates with 3+ years of hands-on industry experience in machine learning, AI development, or related technical roles. Essential qualifications include domain expertise in machine learning algorithms, deep learning architectures, and AI system design. Proficiency in Python and core data science libraries, experience with machine learning frameworks like PyTorch and TensorFlow, and expertise in natural language processing techniques are also required. Additionally, strong communication skills, the ability to explain complex AI concepts clearly, and experience in creating technical AI/ML content are essential for this role. Preferred qualifications include an advanced degree (Master's/PhD) in Computer Science, Machine Learning, Data Science, or a related field, published research in AI/ML conferences or journals, experience with reinforcement learning and multi-agent systems, familiarity with AI safety, ethics, and responsible AI development practices, and knowledge of emerging AI architectures and research trends. Background in technical training, workshops, or mentoring in AI/ML domains and an understanding of accessibility standards in educational content are also desirable.,

As a Software Developer with 5-7 years of experience, especially in large-scale data systems, you should have a B.Tech / B.E or ME/ M.Tech / MCA degree. Your solid understanding of Machine Learning concepts such as regression, classification, and clustering, along with proficiency in Python (or R, Java, C++) programming is essential. Hands-on experience with ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras is required. Additionally, you should possess a strong grasp of data structures, algorithms, statistics, and DBMS. Your excellent verbal and written communication skills will be crucial for effectively conveying technical information to both technical and non-technical audiences. Familiarity with data tools like Pandas, NumPy, and SQL is expected. Moreover, possessing analytical thinking, problem-solving abilities, adaptability, and a strong teamwork ethic are important soft skills for this role. Desirable skills include exposure to advanced ML areas such as deep learning, NLP, computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP, and familiarity with version control using Git will be beneficial. Understanding MLOps and pipeline concepts would be a bonus for this position.,

As the Lead Data Scientist at Mastercard, you will have the opportunity to lead, mentor, and grow the data science team focused on developing production-grade services and capabilities. Your role will involve planning and directing data science and machine learning projects, designing and implementing machine learning models for various financial applications, and measuring, validating, implementing, monitoring, and improving the performance of both internal and external facing machine learning models. You will be expected to propose creative solutions to new challenges in the company, the financial industry, and data science, while effectively presenting technical problems and findings to business leaders and clients. Your responsibilities will also include leveraging best practices in machine learning and data engineering to develop scalable solutions, identifying areas where resources fall short of needs, and providing thoughtful and sustainable solutions to benefit the team. You should be a strong, confident, and excellent writer and speaker, capable of communicating your vision and roadmap effectively to a wide variety of stakeholders. To excel in this role, you should have at least 8 years of experience in data science and machine learning model development and deployments. Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation, and credit risk modeling is a plus. A strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques/methods is essential. Proficiency in SQL/Database operations is preferred, along with experience in technologies such as Kubernetes, Containers, Docker, REST APIs, Event Streams, and relevant tools like Tensorflow, Python, Sklearn, and Pandas. Moreover, you should have a strong desire to collaborate and come up with creative solutions, with additional experience in Finance and FinTech being beneficial. A Bachelors or Masters Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics is preferred for this role. As part of Mastercard's corporate security responsibility, you will be expected to abide by the company's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected information security violations or breaches, and complete all mandatory security trainings in accordance with Mastercard's guidelines. If you are passionate about leveraging data to provide high-quality customer solutions, possess strong technical leadership skills, and have an entrepreneurial mindset, then this Lead Data Scientist position at Mastercard could be the perfect opportunity for you to make a significant impact across various sectors of the economy.,

The Applications Development Intermediate Programmer Analyst position at our organization entails actively participating in the establishment and execution of new or modified application systems and programs in collaboration with the Technology team. Your primary goal in this role is to contribute to applications systems analysis and programming activities. Your responsibilities will include utilizing your knowledge of applications development procedures and concepts, as well as basic understanding of other technical areas, to identify and define necessary system enhancements. This will involve using script tools, analyzing code, and interpreting code. You will also be expected to consult with users, clients, and various technology groups to address issues, suggest programming solutions, and provide installation and support for customer exposure systems. Additionally, applying fundamental knowledge of programming languages for design specifications and analyzing applications to identify vulnerabilities and security issues will be part of your role. You will also be responsible for conducting testing, debugging, and serving as an advisor or coach to new or lower-level analysts. Your role will require you to identify problems, analyze information, and make evaluative judgments to recommend and implement solutions. You will need to resolve issues by identifying and selecting solutions through the application of acquired technical experience and guided by precedents. Furthermore, you should be able to operate with a limited level of direct supervision, exercise independence of judgment and autonomy, and act as a subject matter expert to senior stakeholders and/or other team members. It is crucial that you appropriately assess risk when making business decisions and demonstrate particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets. Key Responsibilities: - Design and implement ETL pipelines using PySpark and Big Data tools on platforms like Hadoop, Hive, HDFS, etc. - Write scalable Python code for Machine Learning preprocessing tasks and work with libraries such as pandas, Scikit-learn, etc. - Develop data pipelines to support model training, evaluation, and inference. Skills required for this role include proficiency in Python programming with experience in PySpark for large-scale data processing, hands-on experience in Big Data technologies such as Hadoop, Hive, HDFS, exposure to machine learning workflows, model lifecycle, and data preparation, experience with ML libraries like Scikit-learn, XGBoost, Tensorflow, PyTorch, and exposure to cloud platforms (AWS/GCP) for data and AI workloads. Qualifications: - 4-8 years of relevant experience in the Financial Service industry - Intermediate level experience in Applications Development role - Demonstrated clear and concise written and verbal communication skills - Proven problem-solving and decision-making abilities - Ability to work under pressure, manage deadlines, and adapt to unexpected changes in expectations or requirements Education: - Bachelor's degree/University degree or equivalent experience This job description serves as a comprehensive overview of the primary responsibilities and requirements for the role. Other job-related duties may be assigned as necessary.,

As a science and technology leader with over 30 years of experience in developing software solutions for physics-based and machine learning-based chemical simulations and predictive analyses, Schrdinger is looking for an application-focused Materials Informatics & Optoelectronics Scientist to join in the mission of improving human health and quality of life through the application of advanced computational methods. Joining the Materials Science team at Schrdinger will provide you with the opportunity to work on diverse projects in optoelectronics, catalysis, energy storage, semiconductors, aerospace, and specialty chemicals. You will love this job if you are a statistical and machine learning expert with robust problem-solving skills, a materials science enthusiast familiar with RDkit, MatMiner, Dscribe, or other informatics packages, a proficient Python programmer and debugger with knowledge of machine learning packages like Scikit-Learn, Pandas, NumPy, SciPy, and PyTorch, an experienced researcher with hands-on experience in extracting datasets using large language models (LLM) or Optical Character Recognition (OCR) technologies, and a specialist in quantum chemistry or materials science who enjoys collaborating with an interdisciplinary team in a fast-paced environment. Your responsibilities will include researching, curating, and analyzing datasets from literature and other sources using advanced techniques such as LLMs and OCR, working with domain experts to ensure the accuracy and quality of data (such as molecular structures, SMILES strings, experimental measurements, etc), developing and validating predictive machine learning models for OLED devices and other optoelectronic applications, communicating results and presenting ideas to the team, developing tools and workflows that can be integrated into commercial software products, and validating existing Schrdinger machine learning products using public datasets or internally generated datasets. To be successful in this role, you should hold a PhD in Chemistry or Materials Science, have hands-on experience with the application of machine learning, neural networks, deep learning, data analysis, or chemical informatics to materials and complex chemicals, and experience with LLM, OCR technologies, and the extraction of datasets for ML model development.,

Hello Everyone, Optum is hiring AI ML Data Scientists at Hyderabad Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Skills: Python, NLP, LLMs, APIs Experience: 7 - 11 yrs Notice Period: Immediate to 45 days Location: Hyderabad Primary Responsibilities: Lead the technology as a senior member of the software engineer team, as part of an Agile scrum team assigned to work on the project Designs, codes, tests, debug, and documents software, and enhance existing components to ensure that software meets business needs Contribute to the design and architecture to enable secure, scalable, and maintainable software and should be able to clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership Provide hands-on leadership, coaching, mentoring, and software engineering best practices to junior software engineers Develop reusable patterns and encourage innovation that will enable team velocity Collaborate on the design with other team members and product owners, both inside and outside the scrum team Estimate engineering work effort for engineering team and effectively identify and prioritize the high impact tasks Conduct design and code reviews to ensure code developed meets coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines Drive a quality mindset within the team Required Qualifications: Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid analytical, quantitative, problem-solving, and critical thinking skills Interested can share their updated CV at arshad_mohammad@optum.com Thanks and Regards, Arshad Ayub - Talent Scout Optum arshad_mohammad@optum.com

"Strong working experience in python based Django,Flask framework. Experience in developing microservices based design and architecture. Strong programming knowledge in Javascript,HTML5, Python, Restful API, gRPC API Programming experience & object-oriented concepts in PYTHON. Knowledge of python libraries like Numpy, Pandas, Ppen3D, OpenCV, Matplotlib. Knowledge of MySQL/Postgres/MSSQL database. Knowledge of 3D geometry. Knowledge of SSO/OpenID Connect/OAuth authentication protocols. Working experience with version control systems like GitHub/BitBucket/GitLab. Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. Basic knowledge of image processing. Knowledge of data-analysis, data science. Strong communication skills. Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve any blockers. Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member"s ideas. Interested to working in a fast-paced, Agile software development team Good to Have: Knowledge of other programming language like C, C++. Knowledge of basics of machine-learning. Exposure to NoSQL Databases. Knowledge of GCP/AWS/Azure cloud" Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it"s own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Understand client business requirement and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientist and produce project deliverables Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods. Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques. Help enhance data collection procedures to include information that is relevant for building analytical systems Doing ad-hoc analysis and presenting results in a clear manner. Follow and help improve with Analytics-Delivery procedures using detailed documentations. Create custom reports and presentations accompanied by strong data visualization and storytelling Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Minimum 4 years relevant experience Experience in data management and visualization task Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc. Excellent understanding / hand-on experience in NLP and computer vision. Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.). Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc. Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc Knowledge/ hand-on experience on deployment of model in production & deployment. Hands on experience in GenAI. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Edge AI Data Scientists will be responsible for designing, developing, and validating machine learning modelsparticularly in the domain of computer visionfor deployment on edge devices. This role involves working with data from cameras, sensors, and embedded platforms to enable real-time intelligence for applications such as object detection, activity recognition, and visual anomaly detection. The position requires close collaboration with embedded systems and AI engineers to ensure models are lightweight, efficient, and hardware-compatible. Candidate Requirements Education Bachelor"s or Masters degree in Data Science, Computer Science, or a related field. Experience 3+ years of experience in data science or machine learning with a strong focus on computer vision. Experience in developing models for edge deployment and real-time inference. Familiarity with video/image datasets and deep learning model training. Skills Proficiency in Python and libraries such as OpenCV, PyTorch, TensorFlow, and FastAI. Experience with model optimization techniques (quantization, pruning, etc.) for edge devices. Hands-on experience with deployment tools like TensorFlow Lite, ONNX, or OpenVINO. Strong understanding of computer vision techniques (e.g., object detection, segmentation, tracking). Familiarity with edge hardware platforms (e.g., NVIDIA Jetson, ARM Cortex, Google Coral). Experience in processing data from camera feeds or embedded image sensors. Strong problem-solving skills and ability to work collaboratively with cross-functional teams. Your Profile Responsibilities Develop and train computer vision models tailored for constrained edge environments. Analyze camera and sensor data to extract insights and build vision-based ML pipelines. Optimize model architecture and performance for real-time inference on edge hardware. Validate and benchmark model performance on various embedded platforms. Collaborate with embedded engineers to integrate models into real-world hardware setups. Stay up-to-date with state-of-the-art computer vision and Edge AI advancements. Document models, experiments, and deployment configurations. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and iCa sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 1+ years of experience in software development, with at least 1+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Job Summary We are looking for a highly skilled Python Full Stack Developer with strong backend and frontend development experience, cloud expertise, and a solid foundation in data engineering and analytics tools. The ideal candidate is comfortable working across the tech stack, deploying to the cloud, and working with data tools such as FastAPI, NumPy, Pandas, Tableau, MATLAB, and DuckDB. . Key Responsibilities Develop scalable APIs and backend services using FastAPI, Django, or Flask Build responsive and interactive UIs using React.js or Vue.js Work with data pipelines and analytical workflows using Pandas, NumPy, DuckDB, and MATLAB Integrate dashboards and visualizations using tools like Tableau Design and implement RESTful APIs and microservices architecture Deploy applications and services to AWS, GCP, or Azure Set up and maintain CI/CD pipelines, Docker containers, and Kubernetes clusters Collaborate with cross-functional teams including data scientists, DevOps, and product managers Required Skills Strong experience with Python and frameworks like FastAPI, Flask, or Django Proficiency with React.js, or Vue.js or Angular Hands-on experience with cloud platforms (AWS, GCP, or Azure) Data analysis and transformation using Pandas, NumPy, and DuckDB Working knowledge of MATLAB for numerical and scientific computing Familiarity with Tableau for dashboarding and data storytelling Experience with SQL / NoSQL databases. Should have experience in Elastic. Good understanding of Docker, Kubernetes, and CI/CD practices Strong understanding of data structures, algorithms, and system design Nice to Have Experience with Terraform or Pulumi for infrastructure as code Serverless experience (AWS Lambda, GCP Functions) Exposure to data pipelines, ETL/ELT workflows, and batch/stream processing Familiarity with observability tools like Prometheus, Grafana, or CloudWatch

About the Role: Grade Level (for internal use): 11 The Team As a member of the EDO, Collection Platforms & AI Cognitive Engineering team you will work on building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will define AI strategy, mentor others, and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment. You will work in a (truly) global team and be encouraged for thoughtful risk-taking and self-initiative. Whats in it for you: Be a part of a global company and build solutions at enterprise scale Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists) Contribute to solving high-complexity, high-impact problems end-to-end Architect and oversee production-ready pipelines from ideation to deployment Responsibilities: Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics Evaluation, interpretation, and communication of results to executive stakeholders Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches Establish and enforce coding standards, perform code reviews, and optimize data science workflows Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services) Mentor and guide junior data scientists; foster a culture of continuous learning and innovation Manage stakeholders across functions to ensure alignment and timely delivery Technical Requirements: Hands-on experience with large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrieval Expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers) Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systems Strong grasp of statistics, probability, and the mathematics underpinning modern AI Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production Proven experience on at least one end-to-end GenAI or advanced NLP projectcustom NER, table extraction via LLMs, Q&A systems, summarization pipelines, OCR integrations, or GNN solutions Familiarity with orchestration and deployment toolsAirflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit Openness to evaluate and adopt emerging technologies and programming languages as needed Good to have: Masters or Ph.D. in Computer Science, Statistics, Mathematics, or related field (minimum Bachelors) 6+ years of relevant experience in Data Science/AI, with at least 2 years in a leadership or technical lead role Prior experience in the Economics/Financial industry, especially with market-intelligence or risk analytics products Public contributions or demos on GitHub, Kaggle, StackOverflow, technical blogs, or publications Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ---- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ---- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Greetings from Newt Global Good day!! Job Title: Senior Python developer Experience: 2+ years Location: Chennai Work location: Chennai (5 days WFO) Domain: Product development Notice Period: Immediate to 15 days Key Responsibilities: Strong understanding of Python frameworks (Flask) and libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL and experience with databases like PostgreSQL/ Oracle (any other SQL databases) Experience with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes) Added Advantage Demonstrated problem solving /Algorithms / Design patterns / Hackathon etc Good to have Machine learning, AI, Data science exposure (Scikit-learn, TensorFlow, PyTorch) Product development experience is preferred Qualifications: 2+ years of professional experience in Python backend development. Experience with RESTful APIs and microservices architecture. Bachelor's degree in Computer Science, Computer Engineering, or a related field. Interested Candidates Share your updated CV "logashrik @newtglobalcorp.com "

Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005,weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry. Position Overview BOLD is seeking a highly skilled professional to spearhead the development of cutting-edge browser automation technology for our Expert Apply product. You will play a key role in designing scalable automation frameworks, tackling challenges in bot detection, and optimizing system performance. You'll also be responsible for building and monitoring metrics to ensure system reliability and robustness. If you are passionate about large-scale automation and system reliability, we want to hear from you. Role & responsibilities Design and architect scalable and robust enterprise-level automation applications using Python. Develop applications that run on PODs (Kubernetes), ensuring high availability and reliability. Debug complex issues in applications and devise solutions that enhance stability and performance. Identify performance bottlenecks within applications through profiling and metrics analysis. Optimize existing code to improve performance and efficiency, ensuring the system can handle high traffic loads. Utilize automation frameworks and tools such as Playwright, Chromium, and stealth browser for web automation tasks. Implement message handling to facilitate communication between different services. Develop web scraping solutions to gather and process data from various online sources. Analyze and troubleshoot software issues, providing timely resolutions to ensure system reliability Collaborate with cross-functional teams to understand user requirements and translate them into technical specifications. Review and enhance code quality through thorough testing and code reviews. Stay updated with industry trends and emerging technologies, integrating best practices into the development process Document architecture, design choices, and implementation details for future reference and knowledge sharing. Ensure compliance with security and data privacy standards throughout the application lifecycle. Preferred candidate profile Strong programming skills in Python like expertise in string manipulation and regular expression to effectively handle and process the text data during web scrapping and automation tasks. Deep understanding of OOP principles, including encapsulation, inheritance, and polymorphism, to design robust and maintainable software systems. Knowledge of common design patterns (e.g., Singleton, Factory, Observer) to enhance system design, improve code reusability, and implement best practices in software architecture. Solid foundation in algorithms (sorting, searching, parsing) and data structures (lists, dictionaries, trees) to solve complex problems efficiently and effectively during software development. Good understanding of how modern browsers function, including rendering engines, Java Script engines, HTTP protocols, and browser APIs. Experience optimizing scraping strategies based on browser behavior and performance. Experience with caching technologies (e.g. Redis, in-memory caching) Experience with messaging protocols (e.g. Azure service bus, Kafka, RabbitMQ) working knowledge and proven experience in containerization using Docker. Understanding of DevOps practices and CI/CD pipelines. Excellent communication skills and the ability to collaborate across time zones Excellent analytical and problem-solving skills. Knowledge of cloud computing, Amazon Web Services or Microsoft Azure

What to expect working in CME Post Trade: Opportunity to work with Technical Experts in Enterprise processing Own significant and challenging development as appropriate to role Every user story will have clearly defined testable acceptance criteria We provide bespoke training opportunities to develop new skills and expertise A team with a focus on innovation and embracing early adoption of practices and technologies. Strong identity and accountability for the entire value stream Flexible home working policy Where differing views and debate are respected and encouraged Principal Accountabilities Contributes to system design collaborating with various teams to build fit for purpose platforms. Design, develop, test, deploy, maintain and improve software. Provide mentoring and technical direction to development, helping to identify technical solutions to realize design. Completes research and conducts POCs on new technologies. Participates in CICD development pipelines, contributing to modern test and delivery techniques Take initiative and be responsible for technical solutions to application and cloud challenges. Essential Criteria Bachelor's degree (with honors) or equivalent/better strongly preferred, but substantial relevant experience could substitute Strong knowledge of core Java skills, 3 plus years significant experience Experience working with multithreaded applications and core Java libraries Ability to write clean, bug-free code that is easy to understand, and easily maintainable Desirable Criteria Experience of financial markets/exchange space and working with financial applications Experience CICD and Cloud operations Experience using Confluence, JIRA, or other Atlassian tools. Skills & Software Requirements: Java skills : Python, Pandas, Python REST, PySpark Code Version Control: Tortoise GIT, GIT/Bitbucket DevOps Tools : Maven, Bamboo, Jenkins, Argo Optional Core Java is good addon Intermediate SQL knowledge. Basic modeling. Elementary tuning Exposure to GCP (Google cloud) will be a big advantage Experience in Agile Development Candidate must have good written and oral communication skills, be a fast learner